Capital Programs Struggle to Extract Value From AI

A new industry report highlights that fragmented data systems are limiting the effectiveness of AI investments.

Updated on Oct. 20, 2026 in Artificial Intelligence

Isometric editorial illustration of a large concrete block with vertical structural cracks, symbolizing the data infrastructure gaps in enterprise AI.
Only 8% of organizations realize significant value from AI tools, as fragmented software systems continue to undermine infrastructure effectiveness, according to Kahua. AI Illustration. Upload story photo >

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Kahua released The 2026 Capital Program Maturity Report, revealing that only 8% of organizations achieve significant value from AI tools despite high adoption. Poor data quality and fragmented software environments remain the primary hurdles to success.

Why it matters

The findings suggest that the widespread use of general-purpose AI is failing to deliver results because infrastructure is too disconnected. Organizations are now shifting toward consolidating software to fix these data gaps.

Only 4% of organizations operate in fully connected systems, while 16% report confidence in their data accuracy. Currently, 58% of firms are actively consolidating toward a unified software platform.

The players

Kahua

Kahua is a software company headquartered in Alpharetta, Georgia, that specializes in capital program management solutions.

Verdantix

Verdantix is an independent research and advisory firm that conducted the study on behalf of the industry.

The details

The report, conducted by Verdantix through 50 quantitative and five in-depth interviews, highlights that fragmented systems prevent AI from performing effectively. Currently, just 22% of respondents maintain a single system of record that spans the full project lifecycle.

Timeline

  1. October 20, 2026: Kahua released The 2026 Capital Program Maturity Report.

The Tech Race

This research highlights the widening gap between AI ambition and the functional reality of legacy infrastructure. It positions platform consolidation as the critical technical hurdle that companies must clear to remain competitive against those with integrated systems.

Industry leaders using general-purpose AI tools face significant hurdles in data accuracy, which complicates project workflows and decision-making. Future project management software will likely prioritize unified systems to overcome these current integration deficits.

The takeaway

Organizations should prioritize building a single, unified system of record before investing further in AI tools. True value from AI is contingent on high-quality, connected data rather than the software platform alone.

Further reading

For more information on current software trends, visit the Artificial Intelligence section.

More information

View the full details in the 2026 Capital Program Maturity Report.

Live Poll

Do you believe that increasing investment in AI tools leads to measurable benefits for your business?